Guavy AI Editorial TeamSentiment: 2Clout: 82

Canadian Online Casino Market Grapples with RNG Fairness Concerns

The Canadian online casino market has seen significant growth since its inception, with over $2 billion in gross gaming revenue processed by iGaming Ontario and the AGCO in its first full year of operation. However, with this growth comes a pressing concern: ensuring that the random number generators (RNG) used in these games are truly fair.

There are three main trust models competing in this space: eCOGRA-audited RNG, GLI-audited RNG, and provably fair systems using SHA-256 hashing. Each model has its strengths and weaknesses, with varying levels of transparency, regulatory acceptance, and cost.

eCOGRA, founded in 2003, is one of the most established labs for iGaming-specific certifications, holding ISO/IEC 17025 accreditation. Its certification process involves a step-by-step review of source code, algorithm documentation, statistical testing, and platform audits to ensure compliance with declared statistical tolerances.

GLI-audited RNG, on the other hand, follows Gaming Laboratories International's GLI-19 technical standard, which is widely accepted in government-regulated Canadian and American markets. This model ensures that RNGs produce outputs within declared statistical tolerances and verify RTP (return to player) matches mathematical models.

Provably fair systems, utilizing cryptographic commit-reveal protocols, offer an alternative approach by allowing players to independently verify game outcomes without relying on a third-party certificate. However, this model is still in its infancy, with limited adoption in the market due to its relatively high cost and regulatory uncertainty.